Coherent integration and detection algorithm for hypersonic target based on modified pulse compression and Keystone transform

Autor:	Wenchao Yu, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Mathematical analysis Optical image and video signal processing Signal processing and detection Radar equipment systems and applications Computer vision and image processing techniques Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Electronics Letters, Vol 57, Iss 25, Pp 989-991 (2021)
Druh dokumentu:	article
ISSN:	1350-911X 0013-5194
DOI:	10.1049/ell2.12321
Popis:	Abstract This letter considers the coherent integration and detection for hypersonic target in the first‐order approximate (FOA) echo model. The proposed algorithm first accomplishes the modified pulse compression utilising the designed reference signal, then conducts the Keystone transform (KT) based coherent integration method to detect the target. Compared with the existing methods which model the received signal without considering the target's intrapulse motion, the proposed method has a lower modeling error and can maintain good noise robustness for weak hypersonic target detection. Experimental results are given to show the effectiveness of the proposed method.
Databáze:	Directory of Open Access Journals
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